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A Practical Guide to Phylogenetics for Nonexperts
Published on: February 5, 2014
ape 3.0: New tools for distance-based phylogenetics and evolutionary analysis in R
Andrei-Alin Popescu1, Katharina T Huber, Emmanuel Paradis
1School of Computing Sciences, University of East Anglia, Norwich Research Park, Norwich, UK.
Bioinformatics (Oxford, England)
|April 13, 2012
Summary
The ape software now supports phylogenetic inference from incomplete distance matrices, improving evolutionary analyses. This update enhances the analysis of phylogenetics and evolution (ape) package for more robust evolutionary insights.
Area of Science:
- Computational Biology
- Evolutionary Biology
- Bioinformatics
Background:
- The ape (analysis of phylogenetics and evolution) software package is a popular tool for phylogenetic analysis.
- It offers a strong distance-based component for computing distances from DNA sequences and building phylogenetic trees.
- Current limitations prevent the analysis of incomplete distance datasets, which can arise from modern genomic data.
Purpose of the Study:
- To enhance the ape software package by incorporating methods for phylogenetic inference from incomplete distance matrices.
- To extend the capabilities of ape for analyzing complete distance matrices and improve existing functionalities.
- To provide a more comprehensive tool for evolutionary and phylogenetic analyses.
Main Methods:
- Incorporation of several published methods for phylogenetic inference from incomplete distance matrices into the ape package.
- Extension of ape's repertoire for phylogenetic inference from complete distance matrices.
- Addition of a new object class for efficient encoding of taxon splits and enhancement of existing functions.
Main Results:
- The updated ape package now enables phylogenetic inference from incomplete distance matrices, a previously unsupported feature.
- Enhanced functionality for phylogenetic inference from complete distance matrices has been implemented.
- New data structures and improved existing functions increase the utility of ape for evolutionary analyses.
Conclusions:
- The integration of methods for incomplete distance matrices significantly expands the applicability of the ape software.
- These enhancements provide researchers with more robust tools for phylogenetic and evolutionary studies, especially when dealing with genomic data.
- The updated ape package offers greater versatility and functionality for the analysis of phylogenetics and evolution.
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